Thesis Abstract

Abstract
The characterization of reservoirs in offshore fields is crucial for the successful exploration and production of hydrocarbons. This study focuses on the integration of seismic and well log data to improve reservoir characterization in an offshore field. The integration of these two types of data allows for a more comprehensive understanding of subsurface geology and reservoir properties, leading to more accurate reservoir models and better decision-making in the oil and gas industry. Chapter 1 provides an introduction to the study, outlining the background, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definitions of key terms. The integration of seismic and well log data is essential for enhancing reservoir characterization, as it provides valuable insights into subsurface geology and reservoir properties. The limitations and scope of the study are also discussed, along with the significance of the research in advancing the field of geophysics. Chapter 2 offers a comprehensive literature review on the integration of seismic and well log data for reservoir characterization. The review covers various studies and methodologies used in this field, highlighting the importance of integrating multiple datasets for improving reservoir characterization accuracy. Additionally, the chapter explores the challenges and advancements in seismic and well log data integration techniques, providing a foundation for the research methodology in this study. Chapter 3 details the research methodology employed in this study, including data acquisition, processing, interpretation, and integration techniques. The chapter discusses the selection of seismic and well log data, data processing workflows, and the integration process to develop a robust reservoir model. Various software tools and techniques are utilized to analyze and integrate the data, ensuring a comprehensive understanding of the subsurface geology and reservoir properties. Chapter 4 presents a detailed discussion of the findings obtained from the integration of seismic and well log data in the offshore field. The chapter highlights the insights gained from the integrated dataset, including improved reservoir characterization accuracy, identification of key reservoir features, and validation of the reservoir model. The discussion also addresses the challenges faced during data integration and interpretation, along with potential solutions and recommendations for future studies. Chapter 5 concludes the thesis with a summary of the key findings, implications of the research, and recommendations for further research. The study demonstrates the importance of integrating seismic and well log data for enhancing reservoir characterization in offshore fields, leading to more accurate reservoir models and informed decision-making in the oil and gas industry. The conclusions drawn from this research contribute to the advancement of geophysical techniques and practices in reservoir characterization, with implications for future studies in the field.

Thesis Overview

The project titled "Integration of seismic and well log data for reservoir characterization in an offshore field" aims to address the crucial need for accurate reservoir characterization in offshore oil and gas fields. In the exploration and production of hydrocarbons, it is essential to have a comprehensive understanding of the subsurface reservoir to optimize production and make informed decisions. Seismic data and well logs are valuable sources of information that provide insights into the geological formations and properties of the reservoir. The integration of seismic data, which captures subsurface structures and rock properties through the use of sound waves, with well log data, which provides detailed information on rock composition and fluid content, offers a holistic approach to reservoir characterization. By combining these two datasets, the project seeks to enhance the accuracy and reliability of reservoir models, leading to improved reservoir management and production strategies. In offshore fields, where drilling and exploration activities are complex and expensive, the effective utilization of seismic and well log data is critical for reducing risk and optimizing resource recovery. Through advanced data processing and interpretation techniques, the project aims to extract meaningful insights from the vast amount of information collected from seismic surveys and well logging operations. The research will involve the collection and analysis of seismic data and well logs from a selected offshore field, followed by the integration of these datasets using advanced geophysical and petrophysical techniques. The resulting reservoir models will be used to characterize the subsurface reservoir in terms of lithology, porosity, permeability, and fluid content, among other parameters. By providing a detailed overview of the research methodology, data analysis techniques, and findings, this project aims to contribute to the advancement of reservoir characterization practices in offshore fields. The integration of seismic and well log data holds the potential to unlock valuable insights into reservoir properties and improve decision-making processes in the oil and gas industry.